219 results about "Road transport" patented technology

The invention relates to the technical field of intelligent traffic, and discloses a road transportation key operating vehicle intelligent supervision system, which comprises a data acquisition and fusion module used for acquiring multi-source heterogeneous data of a vehicle terminal, an external environment and the like in real time and carrying out standardization processing; the cognitive digital twinning construction module is used for constructing a dynamic heterogeneous graph representation human-vehicle-road-environment system and outputting a cognitive state vector through a graph neural network; the risk prediction and evaluation module is used for predicting a risk evolution trend based on the state vector sequence and quantifying the uncertainty of prediction by using a Monte Carlo discarding method; and the self-adaptive intervention decision module is used for combining risk prediction and uncertainty, making a decision through a reinforcement learning model and executing an optimal active intervention instruction. By constructing cognitive digital twinning and introducing uncertainty quantification and closed-loop self-checking, prospective prediction and self-adaptive intervention of driving risks are realized, and the accuracy and robustness of supervision are improved.

The invention provides a network freight transport capacity matching system for railway-highway combined transportation. The network freight transport capacity matching system comprises a freight owner end device, a transport capacity end device and a platform end end system. The cargo owner end equipment acquires cargo transportation demands, the transport capacity end equipment acquires transport capacity information of a transport capacity main body, the platform end subsystem integrates the cargo transportation demands to form an order and publish the order, integrates the transport capacity information of each transport capacity end, and matches the order with the transport capacity main body through a system order sending mode, an order grabbing mode or a bidding mode; and generating a contract and executing in-transit supervision. According to the invention, efficient integration and cooperation of railway and highway transportation resources can be realized, the organization efficiency and service quality of cargo transportation are improved, a more convenient, flexible and intelligent freight management solution is provided for cargo owners and transport parties, and innovative development of a railway and highway combined transportation mode is promoted.

An apparatus for measuring performance and contact characteristics between a vehicle test wheel (10) and a ground (20), comprising: a motorized test cart (100) configured to move at a specified speed along a guideway (30) attached to the ground (20); a support (200) for the test wheel (10); and a mechanism (300) mounted between the test cart and the support (200) and configured to hold the support so that the test wheel (10) can roll on the ground (20) with the movement of the test cart along the guideway (30); and allow a movement of the support (200) relative to the ground (20) so that the test wheel (10) can be raised relative to the ground (20) or lowered until it contacts the ground; a thrust actuator (310) configured to apply a thrust force (320) between the test cart (100) and the support (200) and cause the support (200) to move toward the ground (20) through the mechanism (300) and to keep the test wheel (10) in contact with the ground (20) so that the wheel exerts a contact force (220) against the ground (20). The mechanism (300) is mounted between the test cart (100) and the support (200) so that the support (200) is cantilevered from the test cart (100) and the test wheel (10) is external laterally from the test cart (100); said test cart (100) comprises transport wheels (110, 120) mounted to make direct contact with the ground without contacting the guideway (30) and on which the test cart (100) rests; the test cart comprises a plurality of sliding constraints (130,140) between the test cart (100) and the guideway (30) configured to counterbalance the test cart (100) relative to the guideway (30) during the application of the thrust force (320) by the thrust actuator (310) and to isolate the application of the contact force (11) from ground contact reactions of the transport wheels (110, 120).

The invention discloses a multi-target road transportation path planning method and system based on multiple parameters A * and NSGA-II, and belongs to the technical field of road transportation path optimization. The method comprises the following steps: constructing a large-scale road network directed graph structure; establishing a satellite orbit model and a risk distribution model, calculating a dynamic risk value of a roadside, and forming dynamic road network data; a three-stage initialization strategy is adopted to generate an initial population, transportation time and reconnaissance risks are taken as double targets, evolutionary optimization is carried out through an NSGA-II algorithm, and a Pareto optimal path set is output. The system comprises a corresponding road network module, a risk module and a planning module. According to the method, the technical problems of multi-target conflict, low initial population quality and satellite risk avoidance of a traditional method are solved, and the timeliness, the concealment and the algorithm efficiency of path planning are remarkably improved.

The invention discloses a method for manufacturing an arched girder combined section of a super-large-section steel box arch bridge suitable for highway transportation. Comprising a manufacturing process method of an oversized arch foot steel straining beam rod piece of a parallelogram structure and an oversized arch foot steel arch rib rod piece of an octagonal structure and a process method for controlling the assembly size and the linear shape of an overall space structure of an arch foot steel straining beam and an arch foot steel arch rib. The arch foot steel straining beams of the parallelogram box type structures and the octagonal arch foot arch ribs are integrally manufactured, and the arch foot arch ribs and the arch foot straining beams are connected in a welded mode. According to the method, the complex structural characteristics of octagonal arch springing arch ribs and parallelogram irregular arch springing straining beams of the steel box arch bridge arch beam combination section are combined, the method that the plate units are manufactured firstly and then the box body is assembled is adopted, the tailor-welding size of each plate unit is controlled, and control over welding deformation and the overall size of the subsequent box body is facilitated; an integral horizontal pre-splicing method is adopted, and a matching piece welding method is adopted, so that the aim of controlling the spatial relationship between the arch springing, the arch rib and the straining beam is achieved.

The invention provides a road transport vehicle driving risk uncertainty prediction method and system, and belongs to the technical field of vehicle driving risk prediction technology, and the method comprises the steps: obtaining an alarm number space-time sequence, a traffic flow space-time sequence and a multi-graph static adjacency matrix of a current time step; and processing the obtained alarm number time-space sequence, the traffic flow time-space sequence and the multi-graph static adjacency matrix by using a pre-trained road transport vehicle driving risk uncertainty prediction model to obtain the road transport vehicle alarm number in the future time step. According to the invention, accurate short-time prediction of the driving risk of the road transport vehicle is realized, and powerful technical support is provided for improving the reliability and real-time performance of vehicle driving risk early warning.

The invention discloses a zero-carbon intelligent electrified highway transportation system, and relates to the technical field of highway transportation green low-carbon and new energy automobiles, and the system comprises the following components: an energy supply and management module which supplies power through the combination of an external power grid and a renewable energy power generation micro-grid, carries out the voltage reduction and rectification of a traction substation, and outputs the power to a power supply module; a renewable energy power supply proportion dynamic adjustment formula is utilized, and the total central control platform dynamically adjusts the power supply proportion according to the power consumption demand and the energy reserve, so that stable power supply is guaranteed; through close cooperation of the energy supply and management module and the vehicle energy utilization module, electric power is obtained from the overhead contact line system in real time in the driving process, the problems that a new energy heavy truck is short in driving mileage and low in energy supplementing efficiency are effectively solved, the transportation efficiency is greatly improved, the requirement for long-distance freight can be better met, and the transportation cost is reduced. And the road freight industry is powerfully promoted to develop in a more efficient and more convenient direction, and the competitiveness of transportation enterprises in the market is remarkably enhanced.

The invention relates to the technical field of tire health degree evaluation, in particular to a road transport vehicle in-use tire health degree evaluation method, which comprises the following steps of S1, acquiring tire data, S2, constructing a three-level evaluation framework based on a hierarchy analysis method, S3, constructing a first-level index judgment matrix and a second-level index judgment matrix, and S4, constructing a first-level index judgment matrix and a second-level index judgment matrix. The method comprises the following steps: S1, calculating a first-level index and a second-level index, calculating a weight vector of each single index in the first-level index and the second-level index, and carrying out normalization, row summation and further normalization processing on a first-level index judgment matrix and a second-level index judgment matrix, S4, correcting a weight vector coefficient by adopting an entropy weight method, and calculating a combined weight by adopting a multiplication combination method, and S5, carrying out fuzzy comprehensive evaluation by adopting a fuzzy comprehensive evaluation method. And S6, according to the actually measured tire data, evaluating the tire health degree. According to the method, the tire health degree is comprehensively evaluated based on the multi-dimensional indexes, the analytic hierarchy process and the entropy weight method are combined for weighting, the accident rate is reduced, and the operation and maintenance cost is saved.

The invention discloses a road transportation informatization safety supervision method and system, and relates to the technical field of route planning. Acquiring a road network of the target vehicle in the transportation area to obtain a route distribution map; for each section of route in the route distribution map, determining a transportation score, a time score and a danger score corresponding to the section of route according to historical data; determining a total transportation score of each route according to the transportation score, the time score and the danger score; determining an optimal path of the target vehicle from the starting point to the terminal point according to the total transportation score of each section of route; and for each section of route in the optimal path, determining the vehicle detection frequency of the route according to the danger score. The optimal path is determined by comprehensively considering the transportation score, the time score and the danger score, then the vehicle detection frequency of the route with the high danger score is determined, the monitoring strength can be dynamically adjusted, for the route with the high danger score, the vehicle detection frequency is increased, accidents or other safety events are effectively prevented, and the safety of dangerous goods transportation is improved.

A transport device comprises a track 8 along a travel path 1, a transport vehicle 3, and a guide rail 9 arranged along the travel path 1 separately from the track 8 to guide the transport vehicle 3. The transport vehicle 3 comprises a vehicle body 21, a guided section 24 that can be guided by the guide rail 9, at least one wheel 26 arranged on the vehicle body 21 to roll on a top surface 81a, 82a of the track 8, and at least one climbing limiter 30 arranged on the vehicle body 21. The guide rail 9 is arranged in at least one section 11 intersecting the travel path 1 or in a curved section 12, without being arranged in a straight section 13 of the travel path 1.The at least one ascent limiter 30 is directed from below towards a guide rail underside 91, which is a downwardly directed surface of the guide rail 9 in a section in which the guide rail 9 is arranged and comes into contact with the guide rail underside 91 in response to a ascent of the vehicle body 21 from below.

The invention relates to the technical field of carbon emission management, and particularly discloses a traffic transportation industry carbon emission management system based on the Internet of Things, and the system comprises an acquisition module which divides a road into road segments, and continuously collects the illegal behavior data of non-motor vehicles on the road segments through an Internet of Things sensing device; the aggregation module is used for dynamically aggregating the violation behavior data of the road section and generating a comprehensive violation strength index of the road section in a continuous time period; the dividing module is used for dividing the road sections into different risk levels based on the comprehensive violation intensity index and in combination with the phase data of the traffic signal lamp at the current moment; and the recommendation module is used for recommending a path with the lowest total risk value according to a motor vehicle navigation request obtained in real time, dynamically receiving a non-motor vehicle real-time movement track uploaded by the Internet of Things sensing equipment in a navigation process, and triggering re-evaluation of a path risk level and real-time adjustment of a navigation path. The carbon emission in the highway transportation process is reduced.

The invention discloses a highway-railway combined transportation scheduling method and system based on digital twinning and multi-agent cooperation. The method comprises the following steps: establishing a unique binding relationship of people, vehicles and goods in a transportation order based on an RFID binding algorithm, and synchronizing the unique binding relationship to a database; collecting railway transportation state data, road transportation state data and freight station operation data in real time; standardizing the railway transportation state data, the road transportation state data and the freight station operation data through a multi-source data fusion center; the connection time, the route and the parking position of the road vehicle are dynamically adjusted based on the LSTM collaborative scheduling model, and a road vehicle diversion and waiting duration estimation scheme under the emergency situation is output; railway carriage demands are predicted through LSTM, dynamic optimal matching of road trucks and railway carriages is dynamically matched based on a mixed integer programming model, an optimal matching scheme of the road trucks and the railway carriages is generated, unique binding of people, vehicles and goods is achieved by introducing an RFID technology, information barriers are broken, and real-time sharing and standardized interaction of data are achieved.

The utility model discloses a device for integrally limiting a highway transporter body of a million unit transformer, which relates to the field of transformers, and comprises a transformer body and a limiting device for providing buffering for the transformer body, the transformer body comprises a transformer oil tank cover, a transformer oil tank side wall, a transformer oil tank bottom, an iron core web plate upper clamping piece and an iron core web plate lower clamping piece, the side face of the transformer body is provided with a damping limiting device used for being connected with the side wall of a transformer oil tank, the iron core web upper clamping piece and the iron core web lower clamping piece. According to the utility model, the transportation requirement of over 500t level of the ultra-large-capacity generator transformer is met, the supporting strength of the transformer body is ensured, and the possible impact displacement is fully considered, so that the risk that the transformer is damaged by impact in the transportation process is reduced.

The invention is to a carbon capture composition to capture carbon dioxide from an input gas mixture. The carbon capture composition comprises water; an alkali carbonate; and a cross-linked superabsorbent polymer. Also disclosed is a carbon capture system including such carbon capture compositions. Such carbon capture systems are simple, requiring no moving parts, and constructed from existing materials and manufacturing methods, enable an economically sustainable low cost of carbon capture from industrial point sources, road transport vehicles or directly from atmospheric air.

The invention discloses a multi-objective path optimization system and method for hazardous chemical substance road transportation, and the system comprises a data obtaining module which is used for obtaining hazardous chemical substance transportation demand information and road network information, and generating a basic data set; the multi-objective optimization module is used for carrying out collaborative optimization of path planning and risk management and control based on the basic data set to generate an optimization scheme; and the path generation module is used for generating a final transportation path, a time arrangement and an emergency plan based on the optimization scheme, and performing dynamic adjustment according to the real-time road condition. The safety, reliability and efficiency of dangerous chemical substance road transportation are remarkably improved, potential risk exposure is reduced, and comprehensive technical support is provided for dangerous chemical substance transportation management.

The invention discloses a fixed surface deployable antenna. The antenna comprises a center body, a lifting mechanism, an outer ring panel group and a locking assembly. The center body has a first end and a second end in an axial direction. The outer ring panel set comprises a plurality of arc-shaped panel units, each arc-shaped panel unit is hinged to the fixed disc through an overturning base, the outer surface of each arc-shaped panel unit is connected with the movable disc through an inclined supporting rod, one end of each inclined supporting rod is connected with the movable disc through a first universal hinge, and the other end of each inclined supporting rod is connected with the movable disc through a second universal hinge. The first lifting device drives the movable disc to move in the direction away from or close to the fixed disc, the arc-shaped panel unit can rotate clockwise or anticlockwise, and therefore the fixed surface expandable antenna has the unfolded state and the folded state. The size of the outer envelope in the folded state meets the railway / highway transportation requirement, the time used in the unfolding and folding process is short, disassembly and assembly are not needed, and therefore precision errors caused by disassembly and assembly are avoided.

The invention provides an urban road transportation price prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting vehicle data, cargo data, route data, text data and original time sequence data; performing first preprocessing on the vehicle data, the cargo data and the first part of route data to obtain structural non-time-sequence features, performing second preprocessing on the second part of route data and the text data to obtain category features, and performing third preprocessing on the original time sequence data to obtain structural time sequence features; converting the structural non-time-sequence features, the category features and the structural time-sequence features into numeric features; inputting the numerical features into a freight rate regression prediction model, and outputting a freight rate prediction result; according to the method, feature extraction is carried out on the text data through the large language model, and the text data are converted into structured features, so that organic fusion of the deep time sequence model and the large language model is realized, high-precision freight rate dynamic prediction is realized, and the real-time response capability to emergencies is improved.

The invention discloses an unmanned aerial vehicle highway combined transport integrated scheduling method, and relates to the field of cargo transportation, and the method comprises the steps: screening out an initial cargo distribution strategy according to a comparison result of cargo attributes and transportation tool performance parameters, and obtaining an optimized distribution scheme containing unmanned aerial vehicle transportation and highway transportation in combination with a heuristic search algorithm; generating a route for transportation of the unmanned aerial vehicle by using the initial flight path of the unmanned aerial vehicle in combination with a heuristic search algorithm and the flight factors of the unmanned aerial vehicle; generating a route for road transportation by using a basic path algorithm and combining a multi-objective optimization strategy and road transportation factors; according to the route for the unmanned aerial vehicle transportation and the route for the road transportation, determining a conversion node of the unmanned aerial vehicle and the road transportation; and establishing an intermodal node management mechanism at the conversion node. According to the invention, resource configuration can be optimized, transportation efficiency can be improved, transportation cost can be reduced, and real-time sharing and accurate monitoring of information can be realized.

Articulated vehicles and trailers configured for highway transportation, where the tractor of the articulated vehicle is configured to operate in an autonomous mode. In such articulated vehicles, the trailer can be removably coupled to the tractor via a kingpin. The tractor, when coupled to the trailer via the kingpin, and aligned with the trailer, fits entirely beneath the trailer, the tractor being operable to tow the trailer when coupled to the trailer.

This invention relates to the field of attaching agricultural implements to tractors, specifically an attachment device for a self-propelled potato planter. The device includes a transition frame, a hydraulic cylinder, connecting rods, and a transition bar. The transition frame is a vertically mounted rectangular frame formed by connecting an upper rod, a left rod, a lower rod, and a right rod end-to-end. The planter frame includes a crossbar and two right-angle brackets at both ends of the crossbar, perpendicular to it. Each right-angle bracket includes an upright post and a horizontal post perpendicular to the upright post. The connecting rod consists of four identical rods. Two connection points on the left rod and two connection points on the upright post of the left right-angle bracket are rotatably connected to the ends of the two connecting rods, forming a parallelogram structure. This invention enables the planter to swing left and right horizontally and float up and down vertically during planting operations. During road transport, the planter is fixedly connected to the tractor, preventing left and right swinging and vertical floating.

A routing optimization method for truck-drone integrated rescue vehicles in forest firefighting includes the following steps: collecting the data of the disaster sites caused by forest fires, calculating transportation time on road and flight time according to the data of the disaster sites, and getting the transportation time data of post-disaster relief; based on the disaster site data, transportation time data, and an amount of relief supplies that can be allocated to disaster relief sites, constructing a mathematical model of the truck-drone based vehicle routing problem; solving the mathematical model of the truck-drone based vehicle routing problem by the optimization algorithm, and specifying a post-disaster rescue route of the truck-drone integrated rescue vehicle according to the solution results. The model based on the truck-drone based vehicle routing problem method can reduce the impact of sudden natural disasters, and give full play to the advantages of truck-drone integrated rescue vehicles.

The invention discloses an integrated drilling and workover rig base capable of being rapidly disassembled and assembled and a using method thereof.The base can serve as an integral structure to be loaded on a flat plate transport vehicle for road transportation in the transportation state and comprises a bottom assembly; a top assembly; the front stand column, the rear stand column, the bottom assembly and the top assembly jointly form a parallelogram folding mechanism; the base lifting cylinder is connected between the bottom assembly and the top assembly; in the transportation state, the parallelogram folding mechanism is in the folded state, so that the top assembly is close to the bottom assembly in the height direction, and the overall appearance size of the base meets the height limiting and width limiting requirements of highway transportation. Through the parallelogram folding structure and the integral transportation design, the integral transportation of the base and the accessories in one train is realized. The two-stage hoisting mechanism is used for guaranteeing safe and stable hoisting, the transportation height is remarkably reduced, the road transportation standard is met, and finally the effects of improving the moving efficiency and reducing the operation cost and the safety risk are achieved.

A transportable scrap metal pre-shredding system comprising a pre-shredding machine (1) with a frame (2) in which upper and lower shafts (5, 7), both with toothed discs, are at least partially housed. The system comprises a drive unit (9), connectable to the pre-shredding machine (1), including at least one hydraulic unit and one motor. In the working position, the pre-shredding machine (1) and the drive unit (9) are connected, while in the transport position, they are disconnected. The system also comprises control means for adjusting the distance between the shafts (5, 7), modifying the direction of rotation of the upper shaft (5), and modifying the rotational speed of at least one of the shafts (5, 7), based on the size of the scrap and the energy consumption required to process it at any given moment. Both the drive unit (9) and the pre-shredding machine (1) are suitable for road transport.

The application provides a road transport vehicle collision risk prediction method and system, and belongs to the technical field of deep learning, wherein trajectory data and alarm data of a road transport vehicle are acquired; a collision risk prediction model that is pre-trained is used to process the acquired trajectory data and alarm data, so that a collision risk prediction result is obtained. The application considers the influence of multi-dimensional factors such as drivers, vehicles, trips, environments, roads and time sequences, realizes accurate short-time prediction of vehicle driving risk, and provides strong technical support for improving the reliability and real-time performance of vehicle driving risk early warning. A SHAP explanation mechanism effectively reveals the nonlinear influence mechanism of multi-dimensional factors on collision risk, and provides theoretical support for dynamic intervention of collision risk.

The present invention relates to a foldable soil cultivation machine with rotary soil cultivation units. Particularly advantageous are the preservation of soil structure through minimal soil disturbance, low energy consumption compared to alternative soil loosening methods, good road transportability, and high combinability of the machine. The tension between the goals of large working widths and good transport characteristics is resolved by the folding tillage machine, which comprises at least several rotary tillage units, several frame elements, at least one linear actuator configured to drive the folding movement between at least two frame elements about the rotatably mounted axis, and at least one transmission mechanism, wherein the at least one transmission mechanism is connected to the at least one linear actuator and at least two frame elements in such a way that the angle of rotation of the frame elements during the folding process about the rotatable axis can be changed in a range of at least 170°, preferably 180°, and this folding movement between a pair of frame elements is driven by a single linear actuator or a set of several parallel, parallel-kinematically acting linear actuators.

The invention relates to the related field of supply chain optimization management, and discloses a cloud-based green supply chain optimization method and system, which are suitable for supply chain logistics management of production materials and life products, and can optimize the average energy consumption by synchronizing basic data such as geographical fall and supply load of each supply line of a supply chain at the cloud. And data synchronization supervision is carried out on the transfer logistics vehicles in the jurisdiction so as to evaluate the energy consumption conditions of the vehicles in various road transportation states, and then reasonable scheduling management is carried out on the vehicles in the jurisdiction, so that the transfer vehicles can run in the most suitable supply route; the minimum energy consumption can be achieved when the same number of production materials are supplied and transferred in the jurisdiction area, and the purpose of green management optimization of the supply chain is achieved.

The utility model relates to the technical field of road transportation, in particular to a goods covering device for road transportation, which comprises a frame body, mounting seats which are symmetrically distributed are fixedly connected to the top of the frame body, clamping rods are arranged on the mounting seats, motors which are symmetrically distributed are arranged in the frame body, fixing plates which are symmetrically distributed are further fixedly connected to the inside of the frame body, and the fixing plates are fixedly connected to the top of the frame body. A lead screw is rotationally installed on the fixing plate and connected with an output shaft of the motor. According to the device, the mode that the motor drives the lead screw is adopted, rapid unfolding and folding of the covering tent are achieved, the motion mode that the motor drives the lead screw has high bearing capacity and stability, it can be ensured that the covering tent is stably and reliably unfolded and folded under various working conditions, the cargo covering efficiency is effectively improved, and the cargo covering cost is reduced. In addition, the time and the intensity of manual operation are reduced, the labor burden of workers is reduced, and meanwhile, the risk caused by improper manual operation is also reduced.

The invention relates to a commercial vehicle accident high-risk scene portraying method and system. The method comprises the following steps: acquiring original data; constructing a high-risk scene index system, and defining a risk level; preprocessing the original data based on the high-risk scene index system to obtain preprocessed data; training the self-organizing mapping neural network by utilizing the preprocessed data, and adjusting network node weights by adopting a forgetting suboptimal rule to obtain an initial clustering center; and taking the initial clustering center as a starting point, taking the risk level as an initial K value, and carrying out K-means clustering analysis on the preprocessed data to obtain a commercial vehicle accident high-risk scene portrait result. According to the method, the SOM neural network and the weight updating mechanism with the forgetting factor are introduced to optimize the clustering effect, and the pendulum effect generated in the later period is avoided; through methods of clustering analysis, multiple correspondence analysis and the like, accurate description of an accident high-incidence scene of the commercial vehicle is realized, and a support is provided for comprehensively improving the safety of the road transport vehicle.

The invention discloses a quasi-zero stiffness structure and metamaterial composite vibration isolation platform for transportation vibration reduction, and relates to the technical field of vibration isolation platforms, the quasi-zero stiffness structure and metamaterial composite vibration isolation platform comprises a guide assembly, and the guide assembly comprises a base and an equipment vibration isolation platform which is arranged above the base and can slide and lift relative to the base; the vibration isolation assembly comprises a quasi-zero stiffness structure and a local resonance metamaterial vibration isolation assembly; the quasi-zero stiffness structure is connected and supported between the base and the equipment vibration isolation platform, the local resonance metamaterial vibration isolation assembly is connected between the base and the equipment vibration isolation platform and arranged corresponding to the peripheral side of the quasi-zero stiffness structure, and the local resonance metamaterial vibration isolation assembly and the quasi-zero stiffness structure jointly inhibit vibration transmission from the base to the equipment vibration isolation platform. According to the invention, impact and vibration transmitted to precision equipment by pavement excitation during highway transportation can be effectively inhibited.

An intelligent storage and transportation box used in the human organ transplantation and transfer process comprises a box body and a box cover, a buckle plate and a touch display screen are fixedly installed on the surface of the box cover, and the box body and the box cover are connected through a hinge; a first temperature control sensor is mounted on the inner side of the box cover, and a second temperature control sensor is mounted at the bottom in the box body; the driving part is arranged in the box body and comprises a positioning module, a gravity sensing module and a lock control module. The storage and transportation box can adapt to various traffic works of civil aviation aircrafts, high-speed railways and highway transportation; the temperature in the box body can be seen in real time through the touch display screen for warning; the driving circuit board can send information such as the temperature in the box body and the location of the box body to an external data center through the mobile internet, so that a medical team at a far end can know the temperature condition and the physical location of the box body conveniently; the driving circuit board can protect the transferred organs in the box body through the lock control module, and accidental or malicious opening is prevented.